Evidence map›Paper›PMID 41777488›Full record

ArticleRisk management and healthcare policy2026

Performance of Novel Inflammatory Bowel Disease-Specific Models for Risk Adjustment.

Kellyn M Moran, Sarah S Hellems, Kiraat D Munshi, Ian Smith, Kyle D Null

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kellyn M MoranTakeda Pharmaceuticals U.S.A., Inc., Cambridge, MA, USA.
Sarah S HellemsOptum Advisory Services, Minneapolis, MN, USA.
Kiraat D MunshiTakeda Pharmaceuticals U.S.A., Inc., Cambridge, MA, USA.
Ian SmithOptum Advisory Services, Minneapolis, MN, USA.
Kyle D NullTakeda Pharmaceuticals U.S.A., Inc., Cambridge, MA, USA.ORCID 0009-0001-9260-827X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to develop and evaluate inflammatory bowel disease (IBD)-specific risk-adjustment models using an actuarial approach. Methods: This retrospective, cross-sectional study was conducted using Optum administrative claims data from patients with Crohn's disease and/or ulcerative colitis between January 1, 2020, and December 31, 2022. Clinical-risk groupers with three severity levels were developed for Crohn's disease and ulcerative colitis based on IBD medical costs associated with diagnosis codes. Linear regression models assessed the relationship between clinical-risk groupers and concurrent or prospective costs. Separate models were developed for commercially and Medicare Advantage-insured patients, and for users and nonusers of targeted IBD therapies. Additional predictors that improved explanatory power (R Results: In commercially and Medicare Advantage-insured patients, the clinical-risk grouper explained 20.99% and 20.72% of the variance in concurrent costs incurred by targeted therapy users, and 2.07% and 2.01% of the variance for nonusers, respectively. Including IBD-related hospitalizations (number and duration of stay) increased R Conclusion: Our novel concurrent and prospective risk-adjustment models for patients with IBD explain and predict IBD-related costs using administrative claims data, which may offer real-world utility in multiple settings.

Indexed as

actuarial approachclinical-risk grouperinflammatory bowel diseaserisk adjustment

Identifiers

PMID41777488
PMCPMC12951857

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.